the Retrofit Recommender
A recommendation engine that takes into account a variety of building-specific variables including:
Construction year
Area measurement
Asset type (as per GRESB definitions)
Current energy consumption data (not available in our free online version, only via full online platform)
Our Machine Learning model, trained on hundreds of real retrofit datapoints and outcomes, generates top-line retrofit scenarios to help stakeholders make critical decisions to protect property values. The recommended measures align retrofit scenarios with unique portfolio objectives, whether related to a CapEx ceiling or a CO2 reduction floor.
Our tool's recommendations emphasize energy savings and heating source optimization (including heating oil, heat pumps, natural gas, and district heating) while suggesting potential enhancements to heating, cooling, ventilation, and lighting. It also examines sub-categories within the building's thermal envelope, such as the roof, façade, and windows.
Try the light version of the Retrofit Recommender below and understand the value BuildingMinds’ machine learning can bring to your portfolio through risk avoidance and better investment strategies for existing assets.
Select your building type
Based on your building information, the Retrofit Recommender calculates output estimations and our machine learning tool helps to test different scenarios, so that you can plan your next retrofit.
such as Construction Year and Building Type
or fix factors related to:
• Costs
• Retrofit areas with best return for carbon impact
• CO2 Reduction measures
Specify one or more output to generate estimates of the others.
Test the ML-driven scenarios with different variables.
The model predicts retrofit actions, estimates energy savings and costs of the retrofit measures based on the building’s attributes (standard input):
building type (office, residential, etc.)
construction year
building area (in m2)
location (country, according to ISO-3166 ALPHA-2 code, e.g. DE)
primary heating source (optional)
heating and electricity consumption before retrofit (kWh/m2 per year).